Table 9 Number of hairpin-like shapes and non-hairpin-like shapes in prediction results
From: ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors
| Â | True-positive predictions | False-negative predictions | ||
|---|---|---|---|---|
| Â | Hairpin-like shapes | Non-hairpin-like shapes | Hairpin-like shapes | Non-hairpin-like Shapes |
SVM model | 210 (93%) | 14 (7%) | 9 (23%) | 30 (77%) |
Random forest model | 208 (95%) | 11 (5%) | 11 (25%) | 33 (75%) |